New edition building on the strengths of this successful graduate text A clear, accessible introduction to a complex field of classical financial mathematics Includes solved examples for all techniques, exercises, and further reading New to this Edition: New chapters on incomplete markets, including the Esscher transform, minimal martingale measures, f-divergences, duality theory, and god deal bounds A whole new section on dynamic equilibrium theory Fully updated and expanded Arbitrage Theory in Continuous Time Fourth Edition Oxford Finance Series Description The fourth edition of this widely used textbook on pricing and hedging of financial derivatives now also includes dynamic equilibrium theory and continues to combine sound mathematical principles with economic applications. Concentrating on the probabilistic theory of continuous time arbitrage pricing of financial derivatives, including stochastic optimal control theory and optimal stopping theory, Arbitrage Theory in Continuous Time is designed for graduate students in economics and mathematics, and combines the necessary mathematical background with a solid economic focus. It includes a solved example for every new technique presented, contains numerous exercises, and suggests further reading in each chapter. All concepts and ideas are discussed, not only from a mathematics point of view, but with lots of intuitive economic arguments. This edition includes an entirely new section presenting dynamic equilibrium theory, covering unit net supply endowments models and the Cox-Ingersoll-Ross equilibrium factor model. Providing two full treatments of arbitrage theory-the classical delta hedging approach and the modern martingale approach-this book is written so that these approaches can be studied independently of each other, thus providing the less mathematically-oriented reader with a self-contained introduction to arbitrage theory and equilibrium theory, while at the same time allowing the more advanced student to see the full theory in action.
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Arbitrage Theory in Continuous Time (Oxford Finance)